Majumdar Rajtilak, Kandel Shyam L, Strausbaugh Carl A, Singh Anuradha, Pokhrel Suresh, Bill Malick
Northwest Irrigation and Soils Research Laboratory (NWISRL), United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Kimberly, ID 83341, USA.
Sugar Beet Research, USDA-ARS, Fargo, ND 58102, USA.
Int J Mol Sci. 2024 Nov 26;25(23):12681. doi: 10.3390/ijms252312681.
Post-harvest storage loss in sugar beets due to root rot and respiration can cause >20% sugar loss. Breeding strategies focused on factors contributing to improved post-harvest storage quality are of great importance to prevent losses. Using 16S rRNA and ITS sequencing and sugar beet mutational breeding lines with high disease resistance (R), along with a susceptible (S) commercial cultivar, the role of root microbiome and metabolome in storage performance was investigated. The R lines in general showed higher abundances of bacterial phyla, at the M time point, and and at the L time point. Amongst fungal phyla, (including ) and were predominant in diseased samples. Linear discriminant analysis Effect Size (LEfSe) identified bacterial taxa such as , , , , and as putative biomarkers associated with resistance in the R lines. Further functional enrichment analysis showed a higher abundance of bacteria, such as those related to the super pathway of pyrimidine deoxyribonucleoside degradation, L-tryptophan biosynthesis at M and L, and fungi, such as those associated with the biosynthesis of L-iditol 2-dehydrogenase at L in the R lines. Metabolome analysis of the roots revealed higher enrichment of pathways associated with arginine, proline, alanine, aspartate, and glutamate metabolism at M, in addition to beta-alanine and butanoate metabolism at L in the R lines. Correlation analysis between the microbiome and metabolites indicated that the root's biochemical composition, such as the presence of nitrogen-containing secondary metabolites, may regulate relative abundances of key microbial candidates contributing to better post-harvest storage.
由于根腐病和呼吸作用导致的甜菜采后储存损失可造成超过20%的糖分损失。专注于有助于提高采后储存质量因素的育种策略对于防止损失至关重要。利用16S rRNA和ITS测序技术,以及具有高抗病性(R)的甜菜突变育种系和一个感病(S)商业品种,研究了根微生物组和代谢组在储存性能中的作用。R系在M时间点的细菌门丰度总体较高,在L时间点的 和 也较高。在真菌门中, (包括 )和 在患病样本中占主导地位。线性判别分析效应大小(LEfSe)确定了诸如 、 、 、 和 等细菌分类群为与R系抗性相关的假定生物标志物。进一步的功能富集分析表明,R系中与嘧啶脱氧核糖核苷降解的超级途径、M和L期L-色氨酸生物合成相关的细菌丰度较高,以及在L期与L-艾杜糖醇2-脱氢酶生物合成相关的真菌丰度较高。根的代谢组分析显示,R系在M期与精氨酸、脯氨酸、丙氨酸、天冬氨酸和谷氨酸代谢相关的途径富集程度更高,此外在L期还有β-丙氨酸和丁酸代谢。微生物组与代谢物之间的相关性分析表明,根的生化组成,如含氮次生代谢物的存在,可能调节有助于更好采后储存的关键微生物候选物的相对丰度。